Deep Learning for Computer Vision (CS-BWP-NI, CS-MP-IDC, CS-MWP-NI)

8.3434

Dozenten

Beschreibung

In recent years, deep neural networks have shown tremendous success in
almost all fields of computer vision, outperforming most alternative
techniques. Yet many aspects of this paradigm are not well understood,
and recent findings hint to systematic problems in this branch of
machine learning.

In this seminar, we will study different approaches to analyze and
understand the operation of deep networks with the goal of identifying
theoretical and practical challenges. On the practical side will
focus on the application of deep learning to the problems of computer vision
and especially imageregistration and discuss different proposals to
address these tasks.
This course targets at master and advanced bachelor students. The
ideal participant will have some background in machine learning,
computer vision, and deep learning (e.g. on the level of the
"Implementing ANNs with TensorFlow").

Weitere Angaben

Ort: nicht angegeben
Zeiten: Fr. 10:00 - 12:00 (wöchentlich)
Erster Termin: Freitag, 24.04.2020 10:00 - 12:00
Veranstaltungsart: Seminar (Offizielle Lehrveranstaltungen)
Sprache: 2
ECTS-Punkte: 4

Studienbereiche

• Veranstaltungen > Cognitive Science > Bachelor-Programm
• Veranstaltungen > Cognitive Science > Master-Programm